Advanced control systems engineering for energy and comfort management in a building environment-A review

被引:575
作者
Dounis, A. I. [1 ]
Caraiscos, C. [1 ]
机构
[1] Technol Educ Inst Piraeus, Dept Automat, Egaleo 12244, Greece
关键词
Controller-agent; Ambient intelligence; Multi-agent control system; Building energy management system; Fuzzy PID; Optimization techniques; INDOOR AIR-QUALITY; FUZZY CONTROL; NEURAL-NETWORK; AMBIENT INTELLIGENCE; GENETIC ALGORITHMS; VISUAL COMFORT; ROBUST-CONTROL; HVAC SYSTEMS; DESIGN; PERFORMANCE;
D O I
10.1016/j.rser.2008.09.015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Given restrictions that comfort conditions in the interior of a building are satisfied, it becomes obvious that the problem of energy conservation is a multidimensional one. Scientists from a variety of fields have been working on this problem for a few decades now; however, essentially it remains an open issue. In the beginning of this article, we define the whole problem in which the topics are: energy, comfort and control. Next, we briefly present the conventional control systems in buildings and their advantages and disadvantage. We will also see how the development of intelligent control systems has improved the efficiency of control systems for the management of indoor environment including user preferences. This paper presents a survey exploring state of the art control systems in buildings. Attention will be focused on the design of agent-based intelligent control systems in building environments. In particular, this paper presents a multi-agent control system (MACS). This advanced control system is simulated using TRNSYS/MATLAB. The simulation results show that the MACS successfully manage the user's preferences for thermal and illuminance comfort, indoor air quality and energy conservation. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1246 / 1261
页数:16
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